Written by people who sign reports
Our articles are written in Portuguese by practicing radiologists and cover what the routine actually asks: structured reporting, interobserver agreement, TAT measurement, critical-finding protocols, LGPD and the Brazilian AI regulation for medicine (CFM 2.454/2026).
Four modules, one clinical flow
Voice dictation that becomes a structured report, in your template and your terminology.
Critical findings communicated with SLA, escalation and a closed loop until acknowledgement.
Classification suggestions (BI-RADS, LI-RADS, PI-RADS, TI-RADS) for the physician to review.
Structured reports per modality, with the institution’s template as a governed asset.
Plugs into your existing flow
HL7 v2, FHIR R4, DICOM-SR and DICOM Modality Worklist: Laudos.AI connects to your PACS, RIS and worklist without replacing anything. Deployment starts small and auditable, with a dedicated engineer and a 30-day pilot on your real routine.
Governance first
The AI proposes; the physician reviews, edits and signs. No autonomous reports (CFM 2.454/2026).
Sensitive health data stays in Brazil, under LGPD, with a per-exam audit trail.
RadCommons and LaiBench: our classification corpus and public benchmark, open to scrutiny.
Measured in production: n = 5,200 reports over a 30-day window.